At a Glance
- Tasks: Join our team to enhance wind energy modelling and develop innovative software solutions.
- Company: DNV, a leader in assurance and risk management with a focus on sustainability.
- Benefits: Comprehensive benefits, flexible working hours, and global profit share scheme.
- Other info: Collaborative culture with opportunities for professional development and networking.
- Why this job: Make a real impact in the renewable energy sector while growing your career.
- Qualifications: Bachelor's degree and experience in wind energy modelling and scientific computing.
The predicted salary is between 55000 - 70000 £ per year.
About Us
We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.
About Energy Systems
We help customers navigate the complex transition to a decarbonized and more sustainable energy future. We do this by assuring that energy systems work safely and effectively, using solutions that are increasingly digital. We also help industries and governments to navigate the many complex, interrelated transitions taking place globally and regionally, in the energy industry.
About The Role
Join our Wind Models software development team as a Senior Data Scientist to advance the DNV WindFarmer product. We are looking for a domain expert who can bridge the gap between complex wind energy modelling and scalable software development. Enjoy the chance to work on a wide range of problems alongside other motivated and enthusiastic colleagues. Be part of the team leading the way in the adoption of best practices in the renewable energy sector. If you are passionate about empowering customers to make informed decisions through powerful tools and data to help accelerate the global Energy Transition, we would love to hear from you.
Primary Tasks
- Works as part of a cross functional product team to deliver improvements to products focused on wind energy modelling.
- Supports customers to enable their product usage and identify product opportunities.
- Develops and validates model accuracy to ensure high quality product offerings.
- Implements both physics-based and data-driven models programmatically, leveraging scientific computing to build robust and scalable solutions.
- Supports development of more junior and less experienced team members.
- Communicates results and outcomes to technical and non-technical stakeholders.
- Publishes and presents technical content via white papers, blog posts, and/or at conferences.
- Participates in the planning of the product and data science teams’ goals.
What we offer
- Attractive rewards. We offer a comprehensive benefits package, and global profit share scheme.
- Work/life balance. We offer flexible working hours and workplace, with focus on work/life balance for our employees.
- Supportive and caring culture. Our international culture embodies diverse colleagues who value teamwork and inclusion across business areas and borders. We offer opportunities for our employees to connect through social and professional networks.
- Career and development. DNV offers extensive possibilities to grow and develop your competencies and career ambitions. We have a strong company culture with emphasis on growth mindset, knowledge sharing, and professional and personal development.
About You
- Fascinated by wind energy modelling problems, curious about finding solutions and positive in exploiting opportunities for product improvements.
- Strong analytical skills applied to product development issues.
- Communicates clearly, translating findings into actionable recommendations.
- Understands customer needs and applies problem solving skills to best address them.
- Invested in achieving outcomes despite obstacles or setbacks.
- Stays informed on latest data and technology offerings.
- Contributes to team meetings, planning sessions, and continuous improvement.
- Creates and maintains documentation of their projects.
- Eager to learn and deeply develop their expertise.
- Collaborates effectively with team members and external stakeholders.
- Follows team’s coding standards to implement product improvements.
Skills/Experience
- Bachelor’s degree minimum.
- Experience in the wind energy domain, including areas such as wind farm project development, wind resource assessment, wake modelling, CFD, and layout design.
- Background in scientific model R&D, as well as model deployment and validation, is highly valued.
- Experience in scientific computing, with strong and confident programming skills.
- Collaborative experience in developing software is preferred.
- Demonstrated experience in a technical role directly supporting customers.
- Good familiarity with software development tools and Agile best practices.
- Experience working with strongly typed languages (C#, .NET), object orientated programming, compute parallelization, cloud-compute, Kubernetes / microservices, GitOps also highly valued.
Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices. DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.
Senior Data Scientist in Bristol employer: DNV
At DNV, we pride ourselves on being an exceptional employer, offering a supportive and inclusive work culture that values teamwork and personal development. As a Senior Data Scientist in our Wind Models team, you will enjoy flexible working hours, a comprehensive benefits package, and extensive opportunities for career growth while contributing to the vital mission of advancing sustainable energy solutions. Join us in making a meaningful impact in the renewable energy sector, surrounded by passionate colleagues who share your commitment to safeguarding life, property, and the environment.
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We think you need these skills to ace Senior Data Scientist in Bristol
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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